1. Mowatt G, Cook JA, Hillis GS, Walker S, Fraser C, Jia X, et al. 64-slice computed tomography angiography in the diagnosis and assessment of coronary artery disease: systematic review and meta-analysis. Heart. 2008; 94:1386–1393.
2. Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E, et al. Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (assessment by coronary computed tomographic angiography of individuals undergoing invasive coronary angiography) trial. J Am Coll Cardiol. 2008; 52:1724–1732.
3. Miller JM, Rochitte CE, Dewey M, Arbab-Zadeh A, Niinuma H, Gottlieb I, et al. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med. 2008; 359:2324–2336.
4. Schepis T, Marwan M, Pflederer T, Seltmann M, Ropers D, Daniel WG, et al. Quantification of non-calcified coronary atherosclerotic plaques with dual-source computed tomography: comparison with intravascular ultrasound. Heart. 2010; 96:610–615.
5. Yang WI, Hur J, Ko YG, Choi BW, Kim JS, Choi D, et al. Assessment of tissue characteristics of noncalcified coronary plaques by 64-slice computed tomography in comparison with integrated backscatter intravascular ultrasound. Coron Artery Dis. 2010; 21:168–174.
6. Hur J, Kim YJ, Lee HJ, Nam JE, Choe KO, Seo JS, et al. Quantification and characterization of obstructive coronary plaques using 64-slice computed tomography: a comparison with intravascular ultrasound. J Comput Assist Tomogr. 2009; 33:186–192.
7. Leber AW, Becker A, Knez A, von Ziegler F, Sirol M, Nikolaou K, et al. Accuracy of 64-slice computed tomography to classify and quantify plaque volumes in the proximal coronary system: a comparative study using intravascular ultrasound. J Am Coll Cardiol. 2006; 47:672–677.
8. Viles-Gonzalez JF, Poon M, Sanz J, Rius T, Nikolaou K, Fayad ZA, et al. In vivo 16-slice, multidetector-row computed tomography for the assessment of experimental atherosclerosis: comparison with magnetic resonance imaging and histopathology. Circulation. 2004; 110:1467–1472.
9. Cademartiri F, Mollet NR, Runza G, Bruining N, Hamers R, Somers P, et al. Influence of intracoronary attenuation on coronary plaque measurements using multislice computed tomography: observations in an ex vivo model of coronary computed tomography angiography. Eur Radiol. 2005; 15:1426–1431.
10. Yuan C, Kerwin WS, Ferguson MS, Polissar N, Zhang S, Cai J, et al. Contrast-enhanced high resolution MRI for atherosclerotic carotid artery tissue characterization. J Magn Reson Imaging. 2002; 15:62–67.
11. Zaho XQ, Phan BA, Chu B, Bray F, Moore AB, Polissar NL, et al. Testing the hypothesis of atherosclerotic plaque lipid depletion during lipid therapy by magnetic resonance imaging: study design of carotid plaque composition study. Am Heart J. 2007; 154:239–246.
12. Cai J, Hatsukami TS, Ferguson MS, Kerwin WS, Saam T, Chu B, et al. In vivo quantitative measurement of intact fibrous cap and lipid-rich necrotic core size in atherosclerotic carotid plaque: comparison of high-resolution, contrast-enhanced magnetic resonance imaging and histology. Circulation. 2005; 112:3437–3444.
13. Briely-Saebo KC, Mulder WJ, Mani V, Hyafil F, Amirbekian V, Aguinaldo JG, et al. Magnetic resonance imaging of vulnerable atherosclerotic plaques: current imaging strategies and molecular imaging probes. J Magn Reson Imaging. 2007; 26:460–479.
14. Kerwin WS, Zhao X, Yuan C, Hatsukami TS, Maravilla KR, Underhill HR, et al. Contrast-enhanced MRI of carotid atherosclerosis: dependence on contrast agent. J Magn Reson Imaging. 2009; 30:35–40.
15. Dong L, Wang J, Yarnykh VL, Underhill HR, Neradilek MB, Polissar N, et al. Efficient flow suppressed MRI improves interscan reproducibility of carotid atherosclerosis plaque burden measurements. J Magn Reson Imaging. 2010; 32:452–458.
16. Helft G, Worthley SG, Fuster V, Zaman AG, Schechter C, Osende JI, et al. Atherosclerotic aortic component quantification by noninvasive magnetic resonance imaging: an in vivo study in rabbits. J Am Coll Cardiol. 2001; 37:1149–1154.
17. Courtman DW, Schwartz SM, Hart CE. Sequential injury of the rabbit abdominal aorta induces intramural coagulation and luminal narrowing independent of intimal mass: extrinsic pathway inhibition eliminates luminal narrowing. Circ Res. 1998; 82:996–1006.
18. Choi BW, Hur J, Lee HJ, Kim YJ, Kim TH, Choe KO. Gadolinium-enhanced magnetic resonance imaging of atherosclerotic plaques in comparison with histopathology: an in vivo study in aorta of rabbits. J Korean Soc Magn Reson Med. 2009; 13:81–87.
19. Petranovic M, Soni A, Bezzera H, Loureiro R, Sarwar A, Raffel C, et al. Assessment of nonstenotic coronary lesions by 64-slice multidetector computed tomography in comparison to intravascular ultrasound: evaluation of nonculprit coronary lesions. J Cardiovasc Comput Tomogr. 2009; 3:24–31.
20. Sun J, Zhang Z, Lu B, Yu W, Yang Y, Zhou Y, et al. Identification and quantification of coronary atherosclerotic plaques: a comparison of 64-MDCT and intravascular ultrasound. AJR Am J Roentgenol. 2008; 190:748–754.
21. Hoffmann H, Frieler K, Hamm B, Dewey M. Intra- and interobserver variability in detection and assessment of calcified and noncalcified coronary artery plaques using 64-slice computed tomography: variability in coronary artery plaque measurement using MSCT. Int J Cardiovasc Imaging. 2008; 24:735–742.
22. Pflederer T, Schmid M, Ropers D, Ropers U, Komatsu S, Daniel WG, et al. Interobserver variability of 64-slice computed tomography for the quantification of non-calcified coronary atherosclerotic plaque. Rofo. 2007; 179:953–957.